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    • Linear Algebra

    Linear Algebra Courses Online

    Study linear algebra for mathematical and engineering applications. Learn about matrices, vectors, and linear transformations.

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    Explore the Linear Algebra Course Catalog

    • U

      Universidad de los Andes

      Introducción al análisis de sistemas de control con MATLAB

      Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Koç University

      Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

      Skills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Advanced Mathematics, Derivatives, Algebra, Mathematical Theory & Analysis, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      28 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

      Skills you'll gain: Kibana, Data Import/Export, Restful API, Data Mapping, Data Visualization Software, Data Integration, Query Languages, Time Series Analysis and Forecasting, Dashboard, Data Management, Apache Kafka, Histogram, Information Architecture, NoSQL, Performance Tuning, Software Installation, Amazon Web Services, Security Information and Event Management (SIEM), System Monitoring, Data Maintenance

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Matplotlib, Natural Language Processing, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Semantic Web, Seaborn, Pandas (Python Package), Machine Learning, Artificial Neural Networks, Data Processing, Supervised Learning, Text Mining, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Mécanique du point matériel

      Skills you'll gain: Mechanics, Physics, Differential Equations, Linear Algebra, Applied Mathematics, Trigonometry, Calculus, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      40 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Processing, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Predictive Modeling, Model Fitting, and Regression Analysis

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Modeling, Data Analysis, Descriptive Analytics, Forecasting, Machine Learning, Unsupervised Learning, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Regression Modeling Fundamentals

      Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Inclusive Analytic Techniques

      Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytics, Regression Analysis, Research, Focus Group, Correlation Analysis, Diversity and Inclusion, Surveys, Probability, Stakeholder Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Robotic Mapping and Trajectory Generation

      Skills you'll gain: Data Mapping, Control Systems, Real-Time Operating Systems, Global Positioning Systems, Simulations, Image Analysis, Algorithms, Linear Algebra

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

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    1…363738…55

    In summary, here are 10 of our most popular linear algebra courses

    • Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
    • Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts: Koç University
    • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt
    • Natural Language Processing with Real-World Projects: Packt
    • Mécanique du point matériel: École Polytechnique Fédérale de Lausanne
    • Graduate Admission Prediction with Pyspark ML: Coursera Project Network
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
    • Regression Modeling Fundamentals: SAS
    • Inclusive Analytic Techniques: University of Toronto

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Linear Algebra

    Linear algebra courses on Coursera cover a wide array of fundamental and advanced topics, enabling learners to:

    • Understand vectors and matrices and their applications in various fields
    • Learn methods for solving systems of linear equations
    • Explore eigenvalues and eigenvectors and their significance in transformations
    • Apply linear algebra concepts to computer graphics, data analysis, and more
    • Discover how linear algebra supports machine learning and artificial intelligence algorithms‎

    No prior experience in advanced mathematics is required to start with the introductory linear algebra courses available on Coursera. These courses are designed to accommodate learners at different proficiency levels:

    • Beginners can start with basic concepts of vectors and matrix operations.
    • Intermediate learners can delve into more complex subjects such as linear transformations and space.
    • Advanced learners can tackle topics like abstract vector spaces and computational linear algebra.‎

    Coursera offers various credentials through its linear algebra courses, designed to cater to both novices and professionals:

    • Course certificates that validate your knowledge of linear algebra fundamentals
    • Professional certificates that demonstrate your specialized skills in mathematics
    • Specializations with focused expertise in advanced linear algebra topics‎

    Looking to enhance your team's linear algebra skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our linear algebra training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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